Triple

T15445516
Position Surface form Disambiguated ID Type / Status
Subject Gavin Wood E370011 entity
Predicate organization P629 FINISHED
Object Parity Technologies E1158222 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Parity Technologies | Statement: [Gavin Wood, organization, Parity Technologies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parity Technologies
Context triple: [Gavin Wood, organization, Parity Technologies]
  • A. Parity Technologies chosen
    Parity Technologies is a blockchain infrastructure company best known for developing the Polkadot network and advanced Ethereum client software.
  • B. Polkadot
    Polkadot is a next-generation blockchain protocol designed to enable interoperability and secure communication between multiple specialized blockchains within a unified network.
  • C. Algorand Foundation
    Algorand Foundation is the organization that oversees the development, governance, and ecosystem growth of the Algorand blockchain protocol.
  • D. Lattice Group
    Lattice Group is a British company for which Sir John Parker has served in a senior leadership capacity.
  • E. Web3 Foundation
    Web3 Foundation is a nonprofit organization that supports the development of decentralized web technologies and protocols, most notably the Polkadot network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef666e08190a02a01a676306ab9 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf9eae881909b5dc74c55a04ff0 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:21 a.m.